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Diffstat (limited to 'tests/validation/GLES_COMPUTE/UNIT/DynamicTensor.cpp')
-rw-r--r-- | tests/validation/GLES_COMPUTE/UNIT/DynamicTensor.cpp | 105 |
1 files changed, 0 insertions, 105 deletions
diff --git a/tests/validation/GLES_COMPUTE/UNIT/DynamicTensor.cpp b/tests/validation/GLES_COMPUTE/UNIT/DynamicTensor.cpp deleted file mode 100644 index 6d57f84acc..0000000000 --- a/tests/validation/GLES_COMPUTE/UNIT/DynamicTensor.cpp +++ /dev/null @@ -1,105 +0,0 @@ -/* - * Copyright (c) 2019-2020 Arm Limited. - * - * SPDX-License-Identifier: MIT - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to - * deal in the Software without restriction, including without limitation the - * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or - * sell copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ -#include "arm_compute/runtime/BlobLifetimeManager.h" -#include "arm_compute/runtime/GLES_COMPUTE/GCBufferAllocator.h" -#include "arm_compute/runtime/GLES_COMPUTE/functions/GCNormalizationLayer.h" -#include "arm_compute/runtime/MemoryGroup.h" -#include "arm_compute/runtime/MemoryManagerOnDemand.h" -#include "arm_compute/runtime/PoolManager.h" -#include "tests/AssetsLibrary.h" -#include "tests/GLES_COMPUTE/GCAccessor.h" -#include "tests/Globals.h" -#include "tests/Utils.h" -#include "tests/framework/Asserts.h" -#include "tests/framework/Macros.h" -#include "tests/framework/datasets/Datasets.h" -#include "tests/validation/fixtures/UNIT/DynamicTensorFixture.h" - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -#ifndef DOXYGEN_SKIP_THIS -using GCNormLayerWrapper = SimpleFunctionWrapper<MemoryManagerOnDemand, GCNormalizationLayer, IGCTensor>; -template <> -void GCNormLayerWrapper::configure(IGCTensor *src, IGCTensor *dst) -{ - _func.configure(src, dst, NormalizationLayerInfo(NormType::CROSS_MAP, 3)); -} -#endif // DOXYGEN_SKIP_THIS - -TEST_SUITE(GC) -TEST_SUITE(UNIT) -TEST_SUITE(DynamicTensor) - -using BlobMemoryManagementService = MemoryManagementService<GCBufferAllocator, BlobLifetimeManager, PoolManager, MemoryManagerOnDemand>; -using GCDynamicTensorType3SingleFunction = DynamicTensorType3SingleFunction<GCTensor, GCAccessor, BlobMemoryManagementService, GCNormLayerWrapper>; - -/** Tests the memory manager with dynamic input and output tensors. - * - * Create and manage the tensors needed to run a simple function. After the function is executed, - * change the input and output size requesting more memory and go through the manage/allocate process. - * The memory manager should be able to update the inner structures and allocate the requested memory - * */ -FIXTURE_DATA_TEST_CASE(DynamicTensorType3Single, GCDynamicTensorType3SingleFunction, framework::DatasetMode::NIGHTLY, - framework::dataset::zip(framework::dataset::make("Level0Shape", { TensorShape(12U, 11U, 3U), TensorShape(256U, 8U, 12U) }), - framework::dataset::make("Level1Shape", { TensorShape(67U, 31U, 15U), TensorShape(11U, 2U, 3U) }))) -{ - ARM_COMPUTE_EXPECT(internal_l0.size() == internal_l1.size(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(cross_l0.size() == cross_l1.size(), framework::LogLevel::ERRORS); - - const unsigned int internal_size = internal_l0.size(); - const unsigned int cross_size = cross_l0.size(); - if(input_l0.total_size() < input_l1.total_size()) - { - for(unsigned int i = 0; i < internal_size; ++i) - { - ARM_COMPUTE_EXPECT(internal_l0[i].size < internal_l1[i].size, framework::LogLevel::ERRORS); - } - for(unsigned int i = 0; i < cross_size; ++i) - { - ARM_COMPUTE_EXPECT(cross_l0[i].size < cross_l1[i].size, framework::LogLevel::ERRORS); - } - } - else - { - for(unsigned int i = 0; i < internal_size; ++i) - { - ARM_COMPUTE_EXPECT(internal_l0[i].size == internal_l1[i].size, framework::LogLevel::ERRORS); - } - for(unsigned int i = 0; i < cross_size; ++i) - { - ARM_COMPUTE_EXPECT(cross_l0[i].size == cross_l1[i].size, framework::LogLevel::ERRORS); - } - } -} - -TEST_SUITE_END() // DynamicTensor -TEST_SUITE_END() // UNIT -TEST_SUITE_END() // GC -} // namespace validation -} // namespace test -} // namespace arm_compute |